Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create, develop, test, and maintain sophisticated statistical, machine learning, and AI models.

• Build both supervised and unsupervised models, such as regression, classification, clustering, and anomaly detection.

• Analyze extensive structured and unstructured datasets utilizing Python, Pandas, and SQL.

• Assist in the development and implementation of semantic layer architectures.

• Formulate analytical methods, indicators, and models to detect patterns, anomalies, relationships, and potential risks.

• Collaborate closely with investigative and business stakeholders to convert inquiries into analytical strategies and actionable insights.

• Create and enhance natural language processing solutions, including semantic analysis, OCR, and large language models.

• Construct dashboards, visualizations, and analytical products to effectively convey methods, findings, and recommendations.

• Document analytical techniques, model testing, assumptions, and outcomes.

• Work in partnership with data engineers and technical teams to facilitate analytics and machine learning in cloud environments.

⛳️ Requirements

• U.S. citizenship is mandatory.

• Capability to obtain and maintain a Public Trust clearance.

• Master’s degree, Ph.D., or an equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related discipline.

• Over 10 years of practical experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.

• Proficient experience in developing advanced AI, machine learning, predictive, and statistical models.

• Familiarity with both supervised and unsupervised approaches.

• Hands-on experience with Python, including proficiency in Pandas.

• Experience in supporting the development or implementation of semantic layers.

• Background in modern cloud environments like Azure, AWS, or GCP.

• Proficient in SQL, including experience with SQL Server and PostgreSQL.

• Experience in developing and scaling natural language processing solutions.

• Skilled in presenting analytical methods and findings through written reports, presentations, dashboards, or visualizations.

• Excellent command of written and spoken English.

• Position is subject to contract award.

🏝️ Benefits

• Medical, dental, and vision coverage.

• 401(k) retirement benefits.

• Paid time off.

• Paid holidays.

• Life and disability insurance.

• Wellness and employee support programs.

• Remote work environment.

• Occasional travel for training and project meetings (less than 5% per year).